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    "## 项目介绍\n",
    "\n",
    "### 项目人：温舒燃\n",
    "\n",
    "* 项目时间：6月28日-7月3日\n",
    "\n",
    "\n",
    "### 数据来源：和鲸社区\n",
    "\n",
    "* 选用6月份公布的2021年度英国QS世界大学排名  \n",
    "\n",
    "**排名规则**  \n",
    "\n",
    "> 在看数据之前，我们可以简单了解一下QS的排名方法,QS通过如下6个指标对各大学进行评估：\n",
    "\n",
    "* 学术声誉（40%）\n",
    "\n",
    "* 雇主声誉（10%）\n",
    "\n",
    "* 师生比（20%）\n",
    "\n",
    "* 每名教师的引用率（20%）\n",
    "\n",
    "* 国际教师比例（5%）\n",
    "\n",
    "* 留学生比例（5%）\n",
    "\n",
    "-----\n",
    "\n",
    "### 数据源介绍\n",
    "\n",
    "* 项目主要使用“top_universities.xlsx”文件作为数据源，其中数据文件的主要栏位有国家，地区，排名，学术声誉，雇主声誉，师生比，教员引用率，国际学生，总分，大学名称。  \n",
    "\n",
    "\n",
    "> 其中本项目所使用的可计算的栏位为学术声誉，雇主声誉，师生比，教员引用率，国际学生，总分。\n",
    "本项目所使用的可分类的栏位为国家，地区。  \n",
    "\n",
    "### 数据分析目标\n",
    "\n",
    "* [数据分析目标](http://naotu.baidu.com/file/26fba5e87fbacb19cb9e190a0f80e5ea?token=e12650015c5127b1)\n",
    "\n",
    "\n",
    "### 数据分析结果价值宣言\n",
    "\n",
    "* 本项目主要对2021年度英国QS世界大学排名数据进行分析，以可视化可交互的形式让人更了解如今世界大学各项指标的具体情况，加深人们对如今世界上的大学的了解，更直观的让人清楚每所大学的具体情况，一定程度上可以帮助有需要的人获取更多信息。\n"
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   "source": [
    "# 模块准备\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "import cufflinks as cf\n",
    "import plotly as py\n",
    "import plotly.graph_objs as go"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
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       "      <td>2021.0</td>\n",
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       "      <td>100.0</td>\n",
       "      <td>98.1</td>\n",
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       "      <td>63.6</td>\n",
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       "      <td>斯坦福大�?2021</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
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       "      <td>3</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.6</td>\n",
       "      <td>99.1</td>\n",
       "      <td>85.2</td>\n",
       "      <td>69.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
       "      <td>2021.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>United States</td>\n",
       "      <td>4</td>\n",
       "      <td>North America</td>\n",
       "      <td>97.0</td>\n",
       "      <td>82.8</td>\n",
       "      <td>100.0</td>\n",
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       "      <td>100.0</td>\n",
       "      <td>88.2</td>\n",
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       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "      <td>2021.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
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       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
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       "      <th>1181</th>\n",
       "      <td>1181</td>\n",
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       "      <td>100.0</td>\n",
       "      <td>76.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>1183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1184</td>\n",
       "      <td>Europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>45.1</td>\n",
       "      <td>98.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>奥伦贝森管理研究�?2021</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>1184</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>1185</td>\n",
       "      <td>Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>耶尔穆克大学</td>\n",
       "      <td>2021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>1186</td>\n",
       "      <td>Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yildiz Technical University</td>\n",
       "      <td>2021.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1186 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0              国家    排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0              0   United States     1  North America  100.0  100.0  100.0   \n",
       "1              1   United States     2  North America  100.0  100.0  100.0   \n",
       "2              2   United States     3  North America  100.0  100.0   98.6   \n",
       "3              3   United States     4  North America   97.0   82.8  100.0   \n",
       "4              4  United Kingdom     5         Europe  100.0  100.0  100.0   \n",
       "...          ...             ...   ...            ...    ...    ...    ...   \n",
       "1181        1181          Israel  1182           Asia   19.9    NaN  100.0   \n",
       "1182        1182         Romania  1183         Europe    NaN    NaN    NaN   \n",
       "1183        1183         Germany  1184         Europe    NaN   23.8   25.2   \n",
       "1184        1184          Jordan  1185           Asia    NaN    NaN    NaN   \n",
       "1185        1185          Turkey  1186           Asia    NaN    NaN    NaN   \n",
       "\n",
       "      教员引用率   国际教师  国际学生   星级     总分                           大学  Unnamed: 13  \n",
       "0      99.1  100.0  91.9  6.0  100.0                       麻省理工学院       2021.0  \n",
       "1      98.1   99.7  63.6  5.0   98.4                   斯坦福大�?2021          NaN  \n",
       "2      99.1   85.2  69.9  NaN   97.9                         哈佛大学       2021.0  \n",
       "3      99.9  100.0  88.2  NaN   97.0              加州理工大学（Caltech)       2021.0  \n",
       "4      81.3   99.4  98.3  NaN   96.7                         牛津大学       2021.0  \n",
       "...     ...    ...   ...  ...    ...                          ...          ...  \n",
       "1181   76.4    NaN   NaN  NaN    NaN                       威兹曼科学院       2021.0  \n",
       "1182    NaN    NaN   NaN  NaN    NaN                    蒂米什瓦拉西部大学       2021.0  \n",
       "1183   45.1   98.6   NaN  NaN    NaN               奥伦贝森管理研究�?2021          NaN  \n",
       "1184    NaN    NaN   NaN  NaN    NaN                       耶尔穆克大学       2021.0  \n",
       "1185    NaN    NaN   NaN  NaN    NaN  Yildiz Technical University       2021.0  \n",
       "\n",
       "[1186 rows x 14 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_excel(\"top_universities.xlsx\",)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>国家</th>\n",
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       "      <td>69.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
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       "      <th>3</th>\n",
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       "      <td>88.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
       "      <td>2021.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>1181</th>\n",
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       "      <td>Israel</td>\n",
       "      <td>1182</td>\n",
       "      <td>Asia</td>\n",
       "      <td>19.9</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>76.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>1182</td>\n",
       "      <td>Romania</td>\n",
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       "      <td>Europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>蒂米什瓦拉西部大学</td>\n",
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       "      <td>1183</td>\n",
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       "      <td>1184</td>\n",
       "      <td>Europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>45.1</td>\n",
       "      <td>98.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>1184</td>\n",
       "      <td>Jordan</td>\n",
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       "      <td>Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>耶尔穆克大学</td>\n",
       "      <td>2021.0</td>\n",
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       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>1186</td>\n",
       "      <td>Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yildiz Technical University</td>\n",
       "      <td>2021.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1186 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0              国家    排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0              0   United States     1  North America  100.0  100.0  100.0   \n",
       "1              1   United States     2  North America  100.0  100.0  100.0   \n",
       "2              2   United States     3  North America  100.0  100.0   98.6   \n",
       "3              3   United States     4  North America   97.0   82.8  100.0   \n",
       "4              4  United Kingdom     5         Europe  100.0  100.0  100.0   \n",
       "...          ...             ...   ...            ...    ...    ...    ...   \n",
       "1181        1181          Israel  1182           Asia   19.9    NaN  100.0   \n",
       "1182        1182         Romania  1183         Europe    NaN    NaN    NaN   \n",
       "1183        1183         Germany  1184         Europe    NaN   23.8   25.2   \n",
       "1184        1184          Jordan  1185           Asia    NaN    NaN    NaN   \n",
       "1185        1185          Turkey  1186           Asia    NaN    NaN    NaN   \n",
       "\n",
       "      教员引用率   国际教师  国际学生   星级     总分                           大学  Unnamed: 13  \n",
       "0      99.1  100.0  91.9  6.0  100.0                       麻省理工学院       2021.0  \n",
       "1      98.1   99.7  63.6  5.0   98.4                   斯坦福大�?2021          NaN  \n",
       "2      99.1   85.2  69.9  NaN   97.9                         哈佛大学       2021.0  \n",
       "3      99.9  100.0  88.2  NaN   97.0              加州理工大学（Caltech)       2021.0  \n",
       "4      81.3   99.4  98.3  NaN   96.7                         牛津大学       2021.0  \n",
       "...     ...    ...   ...  ...    ...                          ...          ...  \n",
       "1181   76.4    NaN   NaN  NaN    NaN                       威兹曼科学院       2021.0  \n",
       "1182    NaN    NaN   NaN  NaN    NaN                    蒂米什瓦拉西部大学       2021.0  \n",
       "1183   45.1   98.6   NaN  NaN    NaN               奥伦贝森管理研究�?2021          NaN  \n",
       "1184    NaN    NaN   NaN  NaN    NaN                       耶尔穆克大学       2021.0  \n",
       "1185    NaN    NaN   NaN  NaN    NaN  Yildiz Technical University       2021.0  \n",
       "\n",
       "[1186 rows x 14 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看数据\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据清洗"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 处理“大学”列字符串，替换乱码内容"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 删除最后一行数据\n",
    "df.drop(df.columns[len(df.columns) - 1], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 字符串替换\n",
    "df.loc[:, \"大学\"] = df[\"大学\"].str.replace(\"�?2021\", \"学\").replace(\"�?\", \"\").replace(\"?\", \"\").astype('str')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 将香港，澳门，台湾归于中国"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 香港，澳门，台湾与中国大陆地区等在榜单中是分开的记录的，这边都归为china\n",
    "df.loc[:, \"国家\"] = df[\"国家\"].str.replace(\"China (Mainland)\", \"China\")\\\n",
    ".replace(\"Hong Kong SAR\", \"China\")\\\n",
    ".replace(\"Taiwan\", \"China\")\\\n",
    ".replace(\"Macau SAR\", \"China\")\\\n",
    ".astype('str')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 填充所有空值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
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       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
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       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
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       "      <td>1182</td>\n",
       "      <td>Asia</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>76.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>威兹曼科学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>1182</td>\n",
       "      <td>Romania</td>\n",
       "      <td>1183</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>蒂米什瓦拉西部大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>1183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1184</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>45.1</td>\n",
       "      <td>98.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>奥伦贝森管理研究�?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>1184</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>1185</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>耶尔穆克大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>1186</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yildiz Technical University</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1186 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0              国家    排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0              0   United States     1  North America  100.0  100.0  100.0   \n",
       "1              1   United States     2  North America  100.0  100.0  100.0   \n",
       "2              2   United States     3  North America  100.0  100.0   98.6   \n",
       "3              3   United States     4  North America   97.0   82.8  100.0   \n",
       "4              4  United Kingdom     5         Europe  100.0  100.0  100.0   \n",
       "...          ...             ...   ...            ...    ...    ...    ...   \n",
       "1181        1181          Israel  1182           Asia   19.9    0.0  100.0   \n",
       "1182        1182         Romania  1183         Europe    0.0    0.0    0.0   \n",
       "1183        1183         Germany  1184         Europe    0.0   23.8   25.2   \n",
       "1184        1184          Jordan  1185           Asia    0.0    0.0    0.0   \n",
       "1185        1185          Turkey  1186           Asia    0.0    0.0    0.0   \n",
       "\n",
       "      教员引用率   国际教师  国际学生   星级     总分                           大学  \n",
       "0      99.1  100.0  91.9  6.0  100.0                       麻省理工学院  \n",
       "1      98.1   99.7  63.6  5.0   98.4                      斯坦福大�?学  \n",
       "2      99.1   85.2  69.9  0.0   97.9                         哈佛大学  \n",
       "3      99.9  100.0  88.2  0.0   97.0              加州理工大学（Caltech)  \n",
       "4      81.3   99.4  98.3  0.0   96.7                         牛津大学  \n",
       "...     ...    ...   ...  ...    ...                          ...  \n",
       "1181   76.4    0.0   0.0  0.0    0.0                       威兹曼科学院  \n",
       "1182    0.0    0.0   0.0  0.0    0.0                    蒂米什瓦拉西部大学  \n",
       "1183   45.1   98.6   0.0  0.0    0.0                  奥伦贝森管理研究�?学  \n",
       "1184    0.0    0.0   0.0  0.0    0.0                       耶尔穆克大学  \n",
       "1185    0.0    0.0   0.0  0.0    0.0  Yildiz Technical University  \n",
       "\n",
       "[1186 rows x 13 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将数据列所有的NAN值填充为0\n",
    "填充=df.fillna({\"学术声誉\":0,\n",
    "           \"雇主声誉\":0,\n",
    "           \"师生比\":0,\n",
    "           \"教员引用率\":0,\n",
    "           \"国际教师\":0,\n",
    "           \"国际学生\":0,\n",
    "           \"星级\":0,\n",
    "           \"总分\":0,\n",
    "          })\n",
    "填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
       "      <th>学术声誉</th>\n",
       "      <th>雇主声誉</th>\n",
       "      <th>师生比</th>\n",
       "      <th>教员引用率</th>\n",
       "      <th>国际教师</th>\n",
       "      <th>国际学生</th>\n",
       "      <th>星级</th>\n",
       "      <th>总分</th>\n",
       "      <th>大学</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>麻省理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>United States</td>\n",
       "      <td>2</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.1</td>\n",
       "      <td>99.7</td>\n",
       "      <td>63.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>98.4</td>\n",
       "      <td>斯坦福大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>United States</td>\n",
       "      <td>3</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.6</td>\n",
       "      <td>99.1</td>\n",
       "      <td>85.2</td>\n",
       "      <td>69.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>United States</td>\n",
       "      <td>4</td>\n",
       "      <td>North America</td>\n",
       "      <td>97.0</td>\n",
       "      <td>82.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>88.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>1181</td>\n",
       "      <td>Israel</td>\n",
       "      <td>1182</td>\n",
       "      <td>Asia</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>76.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>威兹曼科学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>1182</td>\n",
       "      <td>Romania</td>\n",
       "      <td>1183</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>蒂米什瓦拉西部大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>1183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1184</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>45.1</td>\n",
       "      <td>98.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>奥伦贝森管理研究?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>1184</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>1185</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>耶尔穆克大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>1186</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yildiz Technical University</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1186 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0              国家    排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0              0   United States     1  North America  100.0  100.0  100.0   \n",
       "1              1   United States     2  North America  100.0  100.0  100.0   \n",
       "2              2   United States     3  North America  100.0  100.0   98.6   \n",
       "3              3   United States     4  North America   97.0   82.8  100.0   \n",
       "4              4  United Kingdom     5         Europe  100.0  100.0  100.0   \n",
       "...          ...             ...   ...            ...    ...    ...    ...   \n",
       "1181        1181          Israel  1182           Asia   19.9    0.0  100.0   \n",
       "1182        1182         Romania  1183         Europe    0.0    0.0    0.0   \n",
       "1183        1183         Germany  1184         Europe    0.0   23.8   25.2   \n",
       "1184        1184          Jordan  1185           Asia    0.0    0.0    0.0   \n",
       "1185        1185          Turkey  1186           Asia    0.0    0.0    0.0   \n",
       "\n",
       "      教员引用率   国际教师  国际学生   星级     总分                           大学  \n",
       "0      99.1  100.0  91.9  6.0  100.0                       麻省理工学院  \n",
       "1      98.1   99.7  63.6  5.0   98.4                       斯坦福大?学  \n",
       "2      99.1   85.2  69.9  0.0   97.9                         哈佛大学  \n",
       "3      99.9  100.0  88.2  0.0   97.0              加州理工大学（Caltech)  \n",
       "4      81.3   99.4  98.3  0.0   96.7                         牛津大学  \n",
       "...     ...    ...   ...  ...    ...                          ...  \n",
       "1181   76.4    0.0   0.0  0.0    0.0                       威兹曼科学院  \n",
       "1182    0.0    0.0   0.0  0.0    0.0                    蒂米什瓦拉西部大学  \n",
       "1183   45.1   98.6   0.0  0.0    0.0                   奥伦贝森管理研究?学  \n",
       "1184    0.0    0.0   0.0  0.0    0.0                       耶尔穆克大学  \n",
       "1185    0.0    0.0   0.0  0.0    0.0  Yildiz Technical University  \n",
       "\n",
       "[1186 rows x 13 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "填充.loc[:, \"大学\"] = 填充[\"大学\"].str.replace(\"�?\", \"\").replace(\"?\",\"\")\n",
    "new_df=填充\n",
    "new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
       "      <th>学术声誉</th>\n",
       "      <th>雇主声誉</th>\n",
       "      <th>师生比</th>\n",
       "      <th>教员引用率</th>\n",
       "      <th>国际教师</th>\n",
       "      <th>国际学生</th>\n",
       "      <th>星级</th>\n",
       "      <th>总分</th>\n",
       "      <th>大学</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>麻省理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>United States</td>\n",
       "      <td>2</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.1</td>\n",
       "      <td>99.7</td>\n",
       "      <td>63.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>98.4</td>\n",
       "      <td>斯坦福大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>United States</td>\n",
       "      <td>3</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.6</td>\n",
       "      <td>99.1</td>\n",
       "      <td>85.2</td>\n",
       "      <td>69.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>United States</td>\n",
       "      <td>4</td>\n",
       "      <td>North America</td>\n",
       "      <td>97.0</td>\n",
       "      <td>82.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>88.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>1181</td>\n",
       "      <td>Israel</td>\n",
       "      <td>1182</td>\n",
       "      <td>Asia</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>76.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>威兹曼科学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>1182</td>\n",
       "      <td>Romania</td>\n",
       "      <td>1183</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>蒂米什瓦拉西部大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>1183</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1184</td>\n",
       "      <td>Europe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>45.1</td>\n",
       "      <td>98.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>奥伦贝森管理研究学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>1184</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>1185</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>耶尔穆克大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>1186</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yildiz Technical University</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1186 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0              国家    排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0              0   United States     1  North America  100.0  100.0  100.0   \n",
       "1              1   United States     2  North America  100.0  100.0  100.0   \n",
       "2              2   United States     3  North America  100.0  100.0   98.6   \n",
       "3              3   United States     4  North America   97.0   82.8  100.0   \n",
       "4              4  United Kingdom     5         Europe  100.0  100.0  100.0   \n",
       "...          ...             ...   ...            ...    ...    ...    ...   \n",
       "1181        1181          Israel  1182           Asia   19.9    0.0  100.0   \n",
       "1182        1182         Romania  1183         Europe    0.0    0.0    0.0   \n",
       "1183        1183         Germany  1184         Europe    0.0   23.8   25.2   \n",
       "1184        1184          Jordan  1185           Asia    0.0    0.0    0.0   \n",
       "1185        1185          Turkey  1186           Asia    0.0    0.0    0.0   \n",
       "\n",
       "      教员引用率   国际教师  国际学生   星级     总分                           大学  \n",
       "0      99.1  100.0  91.9  6.0  100.0                       麻省理工学院  \n",
       "1      98.1   99.7  63.6  5.0   98.4                        斯坦福大学  \n",
       "2      99.1   85.2  69.9  0.0   97.9                         哈佛大学  \n",
       "3      99.9  100.0  88.2  0.0   97.0              加州理工大学（Caltech)  \n",
       "4      81.3   99.4  98.3  0.0   96.7                         牛津大学  \n",
       "...     ...    ...   ...  ...    ...                          ...  \n",
       "1181   76.4    0.0   0.0  0.0    0.0                       威兹曼科学院  \n",
       "1182    0.0    0.0   0.0  0.0    0.0                    蒂米什瓦拉西部大学  \n",
       "1183   45.1   98.6   0.0  0.0    0.0                    奥伦贝森管理研究学  \n",
       "1184    0.0    0.0   0.0  0.0    0.0                       耶尔穆克大学  \n",
       "1185    0.0    0.0   0.0  0.0    0.0  Yildiz Technical University  \n",
       "\n",
       "[1186 rows x 13 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.loc[:, \"大学\"] = new_df[\"大学\"].str.replace(\"?\", \"\")\n",
    "new_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 世界总分top100排名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pyecharts\n",
      "  Downloading pyecharts-1.9.0-py3-none-any.whl (135 kB)\n",
      "Requirement already satisfied: jinja2 in d:\\anaconda\\lib\\site-packages (from pyecharts) (2.11.2)\n",
      "Collecting prettytable\n",
      "  Downloading prettytable-2.1.0-py3-none-any.whl (22 kB)\n",
      "Collecting simplejson\n",
      "  Downloading simplejson-3.17.2.tar.gz (83 kB)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in d:\\anaconda\\lib\\site-packages (from jinja2->pyecharts) (1.1.1)\n",
      "Requirement already satisfied: wcwidth in d:\\anaconda\\lib\\site-packages (from prettytable->pyecharts) (0.2.5)\n",
      "Building wheels for collected packages: simplejson\n",
      "  Building wheel for simplejson (setup.py): started\n",
      "  Building wheel for simplejson (setup.py): finished with status 'done'\n",
      "  Created wheel for simplejson: filename=simplejson-3.17.2-py3-none-any.whl size=55464 sha256=3751a496a33c5a511214b3912bdd94bd9bdab2ee85780980bb918596e54d526d\n",
      "  Stored in directory: c:\\users\\think\\appdata\\local\\pip\\cache\\wheels\\17\\72\\7d\\df0984c925921e22322ea462a6f861e9d0617881192deb9b8d\n",
      "Successfully built simplejson\n",
      "Installing collected packages: prettytable, simplejson, pyecharts\n",
      "Successfully installed prettytable-2.1.0 pyecharts-1.9.0 simplejson-3.17.2\n"
     ]
    }
   ],
   "source": [
    "!pip install pyecharts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from pyecharts.charts import *\n",
    "from pyecharts import options as opts\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "tool_js = \"\"\"\n",
    "<div style=\"border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px\">\n",
    "                 {} \n",
    "                 </div>\n",
    "                 排名：{} <br>\n",
    "                 国家：{} <br>\n",
    "                 加权总分：{} <br>\n",
    "                 国际学生：{} <br>\n",
    "                 国际教师：{} <br>\n",
    "                 师生比例：{} <br>\n",
    "                 学术声誉：{} <br>\n",
    "                 雇主声誉：{} <br>\n",
    "                 教员引用率：{} <br>\n",
    "\"\"\"\n",
    "\n",
    "t_data = new_df[(df['排名']<=100)]\n",
    "t_data = t_data.sort_values(by=\"总分\" , ascending=True) \n",
    "\n",
    "university, score = [], []\n",
    "for idx, row in t_data.iterrows():\n",
    "    tjs = tool_js.format(row['大学'], row['排名'], row['国家'],row['总分'], \n",
    "                         row['学术声誉'],row['雇主声誉'], row['师生比'],row['教员引用率'],row['国际教师'], row['国际学生'])\n",
    "    if row['国家'] == 'China':\n",
    "        university.append('🇨🇳 {}'.format(re.sub('（.*?）', '',row['大学'])))\n",
    "    else:\n",
    "        university.append(re.sub('（.*?）', '',row['大学']))\n",
    "    score.append(opts.BarItem(name='', value=row['总分'], tooltip_opts=opts.TooltipOpts(formatter=tjs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min', 'purple-passion':'https://assets.pyecharts.org/assets/themes/purple-passion'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"e7c60c6b87cf4685ab473a4ee29006dd\" style=\"width:1000px; height:1200px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts', 'purple-passion'], function(echarts) {\n",
       "                var chart_e7c60c6b87cf4685ab473a4ee29006dd = echarts.init(\n",
       "                    document.getElementById('e7c60c6b87cf4685ab473a4ee29006dd'), 'purple-passion', {renderer: 'canvas'});\n",
       "                var option_e7c60c6b87cf4685ab473a4ee29006dd = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"xAxisIndex\": 0,\n",
       "            \"yAxisIndex\": 0,\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"value\": 58.8,\n",
       "                    \"tooltip\": {\n",
       "                        \"show\": true,\n",
       "                        \"trigger\": \"item\",\n",
       "                        \"triggerOn\": \"mousemove|click\",\n",
       "                        \"axisPointer\": {\n",
       "                            \"type\": \"line\"\n",
       "                        },\n",
       "                        \"showContent\": true,\n",
       "                        \"alwaysShowContent\": false,\n",
       "                        \"showDelay\": 0,\n",
       "                        \"hideDelay\": 100,\n",
       "                        \"formatter\": \"\\n<div style=\\\"border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px\\\">\\n                 \\u58a8\\u897f\\u54e5\\u56fd\\u7acb\\u81ea\\u6cbb\\u5927\\u5b66 \\n                 </div>\\n                 \\u6392\\u540d\\uff1a100 <br>\\n                 \\u56fd\\u5bb6\\uff1aMexico <br>\\n                 \\u52a0\\u6743\\u603b\\u5206\\uff1a58.8 <br>\\n                 \\u56fd\\u9645\\u5b66\\u751f\\uff1a93.3 <br>\\n                 \\u56fd\\u9645\\u6559\\u5e08\\uff1a90.9 <br>\\n                 \\u5e08\\u751f\\u6bd4\\u4f8b\\uff1a52.9 <br>\\n                 \\u5b66\\u672f\\u58f0\\u8a89\\uff1a4.0 <br>\\n                 \\u96c7\\u4e3b\\u58f0\\u8a89\\uff1a9.9 <br>\\n                 \\u6559\\u5458\\u5f15\\u7528\\u7387\\uff1a3.6 <br>\\n\",\n",
       "                        \"textStyle\": {\n",
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       "                {\n",
       "                    \"value\": 59.0,\n",
       "                    \"tooltip\": {\n",
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       "                        \"showContent\": true,\n",
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       "                        \"hideDelay\": 100,\n",
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       "                        \"textStyle\": {\n",
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       "                    \"value\": 59.5,\n",
       "                    \"tooltip\": {\n",
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       "                        \"textStyle\": {\n",
       "                            \"fontSize\": 14\n",
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       "                        \"borderWidth\": 0,\n",
       "                        \"padding\": 5\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 60.2,\n",
       "                    \"tooltip\": {\n",
       "                        \"show\": true,\n",
       "                        \"trigger\": \"item\",\n",
       "                        \"triggerOn\": \"mousemove|click\",\n",
       "                        \"axisPointer\": {\n",
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       "                        \"textStyle\": {\n",
       "                            \"fontSize\": 14\n",
       "                        },\n",
       "                        \"borderWidth\": 0,\n",
       "                        \"padding\": 5\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 60.3,\n",
       "                    \"tooltip\": {\n",
       "                        \"show\": true,\n",
       "                        \"trigger\": \"item\",\n",
       "                        \"triggerOn\": \"mousemove|click\",\n",
       "                        \"axisPointer\": {\n",
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       "                        },\n",
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       "                        \"showContent\": true,\n",
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       "        \"dimension\": 0,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"showLabel\": true,\n",
       "        \"itemWidth\": 20,\n",
       "        \"itemHeight\": 140,\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 70,\n",
       "        \"end\": 100,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"zoomLock\": false,\n",
       "        \"filterMode\": \"filter\"\n",
       "    },\n",
       "    \"grid\": [\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"20%\",\n",
       "            \"right\": \"10%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_e7c60c6b87cf4685ab473a4ee29006dd.setOption(option_e7c60c6b87cf4685ab473a4ee29006dd);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1416106d7f0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将筛选后的数据进行画图\n",
    "bar = (Bar()\n",
    "       .add_xaxis(university)\n",
    "       .add_yaxis('', score, category_gap='30%')\n",
    "       .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年世界大学TOP 100排名\",\n",
    "                                                  pos_left=\"center\",\n",
    "                                                  title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "                        datazoom_opts=opts.DataZoomOpts(range_start=70, range_end=100, orient='vertical'),\n",
    "                        visualmap_opts=opts.VisualMapOpts(is_show=False, max_=100, min_=60, dimension=0,\n",
    "                                range_color=['#FF99CC', '#99CCFF']),\n",
    "                        legend_opts=opts.LegendOpts(is_show=False),\n",
    "                        xaxis_opts=opts.AxisOpts(is_show=False, is_scale=True),\n",
    "                        yaxis_opts=opts.AxisOpts(axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "                                                 axisline_opts=opts.AxisLineOpts(is_show=False),\n",
    "                                                 axislabel_opts=opts.LabelOpts(font_size=12)))\n",
    "       .set_series_opts(label_opts=opts.LabelOpts(is_show=True,\n",
    "                                                  position='right',\n",
    "                                                  font_style='italic'),\n",
    "                        itemstyle_opts={\"normal\": {\n",
    "                                                    \"barBorderRadius\": [30, 30, 30, 30],\n",
    "                                                    'shadowBlur': 10,\n",
    "                                                    'shadowColor': 'rgba(120, 36, 50, 0.5)',\n",
    "                                                    'shadowOffsetY': 5,\n",
    "                                                }\n",
    "                                       }\n",
    ").reversal_axis())\n",
    "\n",
    "grid = (\n",
    "        Grid(init_opts=opts.InitOpts(theme='purple-passion', width='1000px', height='1200px'))\n",
    "        .add(bar, grid_opts=opts.GridOpts(pos_right='10%', pos_left='20%'))\n",
    "    )\n",
    "grid.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据结果分析\n",
    "\n",
    "* 从图中可以看出，世界排名前三的大学分别为麻省理工学院，斯坦福大学，哈佛大学。所在地区均为美国，可以看出美国的大学教育质量较高。\n",
    "\n",
    "* 在前10 的排名中，大多是欧美国家，亚洲仅有1个学校上榜，为第10名新加坡国立大学，由此看出亚洲的大学教育质量还有待提高。\n",
    "\n",
    "* 国内排名最高的大学是清华大学，排名15，其次是香港大学&北京大学\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 单项指标top20名校排名"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 将各项指标做成筛选函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
       "      <th>学术声誉</th>\n",
       "      <th>雇主声誉</th>\n",
       "      <th>师生比</th>\n",
       "      <th>教员引用率</th>\n",
       "      <th>国际教师</th>\n",
       "      <th>国际学生</th>\n",
       "      <th>星级</th>\n",
       "      <th>总分</th>\n",
       "      <th>大学</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>麻省理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>United States</td>\n",
       "      <td>2</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.1</td>\n",
       "      <td>99.7</td>\n",
       "      <td>63.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>98.4</td>\n",
       "      <td>斯坦福大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>United States</td>\n",
       "      <td>3</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.6</td>\n",
       "      <td>99.1</td>\n",
       "      <td>85.2</td>\n",
       "      <td>69.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>United States</td>\n",
       "      <td>4</td>\n",
       "      <td>North America</td>\n",
       "      <td>97.0</td>\n",
       "      <td>82.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>88.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>6</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.7</td>\n",
       "      <td>96.6</td>\n",
       "      <td>80.8</td>\n",
       "      <td>96.4</td>\n",
       "      <td>100.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>苏黎世联邦理工大学（瑞士联邦理工学院?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>7</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>69.2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>97.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.3</td>\n",
       "      <td>剑桥大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.5</td>\n",
       "      <td>99.8</td>\n",
       "      <td>99.9</td>\n",
       "      <td>68.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.6</td>\n",
       "      <td>帝国理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>United States</td>\n",
       "      <td>9</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.4</td>\n",
       "      <td>91.3</td>\n",
       "      <td>94.4</td>\n",
       "      <td>86.3</td>\n",
       "      <td>67.1</td>\n",
       "      <td>82.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.1</td>\n",
       "      <td>芝加哥大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>10</td>\n",
       "      <td>Europe</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>98.4</td>\n",
       "      <td>65.4</td>\n",
       "      <td>99.3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.9</td>\n",
       "      <td>伦敦大学学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>11</td>\n",
       "      <td>Asia</td>\n",
       "      <td>99.7</td>\n",
       "      <td>98.4</td>\n",
       "      <td>90.7</td>\n",
       "      <td>72.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>新加坡国立大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>United States</td>\n",
       "      <td>12</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.9</td>\n",
       "      <td>99.0</td>\n",
       "      <td>68.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.6</td>\n",
       "      <td>65.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>普林斯顿大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>13</td>\n",
       "      <td>Asia</td>\n",
       "      <td>89.8</td>\n",
       "      <td>89.8</td>\n",
       "      <td>91.5</td>\n",
       "      <td>89.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>67.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>南洋理工大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>14</td>\n",
       "      <td>Europe</td>\n",
       "      <td>80.4</td>\n",
       "      <td>80.0</td>\n",
       "      <td>96.3</td>\n",
       "      <td>98.5</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.6</td>\n",
       "      <td>洛桑联邦理工学院（EPFL)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>China (Mainland)</td>\n",
       "      <td>15</td>\n",
       "      <td>Asia</td>\n",
       "      <td>98.2</td>\n",
       "      <td>98.6</td>\n",
       "      <td>93.3</td>\n",
       "      <td>83.2</td>\n",
       "      <td>55.3</td>\n",
       "      <td>29.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.2</td>\n",
       "      <td>清华大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>United States</td>\n",
       "      <td>16</td>\n",
       "      <td>North America</td>\n",
       "      <td>96.1</td>\n",
       "      <td>91.5</td>\n",
       "      <td>100.0</td>\n",
       "      <td>63.8</td>\n",
       "      <td>88.7</td>\n",
       "      <td>65.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.6</td>\n",
       "      <td>宾夕法尼亚大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>United States</td>\n",
       "      <td>17</td>\n",
       "      <td>North America</td>\n",
       "      <td>98.5</td>\n",
       "      <td>90.9</td>\n",
       "      <td>63.7</td>\n",
       "      <td>88.6</td>\n",
       "      <td>93.7</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.6</td>\n",
       "      <td>康奈尔大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>United States</td>\n",
       "      <td>18</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>52.8</td>\n",
       "      <td>85.3</td>\n",
       "      <td>54.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>耶鲁大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>United States</td>\n",
       "      <td>19</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.7</td>\n",
       "      <td>97.3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>37.2</td>\n",
       "      <td>96.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.5</td>\n",
       "      <td>哥伦比亚大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.0</td>\n",
       "      <td>95.4</td>\n",
       "      <td>83.1</td>\n",
       "      <td>50.2</td>\n",
       "      <td>98.2</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.8</td>\n",
       "      <td>爱丁堡大?学</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                国家  排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0            0     United States   1  North America  100.0  100.0  100.0   \n",
       "1            1     United States   2  North America  100.0  100.0  100.0   \n",
       "2            2     United States   3  North America  100.0  100.0   98.6   \n",
       "3            3     United States   4  North America   97.0   82.8  100.0   \n",
       "4            4    United Kingdom   5         Europe  100.0  100.0  100.0   \n",
       "5            5       Switzerland   6         Europe   98.7   96.6   80.8   \n",
       "6            6    United Kingdom   7         Europe  100.0  100.0  100.0   \n",
       "7            7    United Kingdom   8         Europe   98.5   99.8   99.9   \n",
       "8            8     United States   9  North America   99.4   91.3   94.4   \n",
       "9            9    United Kingdom  10         Europe   99.4   98.3   98.4   \n",
       "10          10         Singapore  11           Asia   99.7   98.4   90.7   \n",
       "11          11     United States  12  North America   99.9   99.0   68.6   \n",
       "12          12         Singapore  13           Asia   89.8   89.8   91.5   \n",
       "13          13       Switzerland  14         Europe   80.4   80.0   96.3   \n",
       "14          14  China (Mainland)  15           Asia   98.2   98.6   93.3   \n",
       "15          15     United States  16  North America   96.1   91.5  100.0   \n",
       "16          16     United States  17  North America   98.5   90.9   63.7   \n",
       "17          17     United States  18  North America   99.9  100.0  100.0   \n",
       "18          18     United States  19  North America   99.7   97.3  100.0   \n",
       "19          19    United Kingdom  20         Europe   98.0   95.4   83.1   \n",
       "\n",
       "    教员引用率   国际教师   国际学生   星级     总分                    大学  \n",
       "0    99.1  100.0   91.9  6.0  100.0                麻省理工学院  \n",
       "1    98.1   99.7   63.6  5.0   98.4                斯坦福大?学  \n",
       "2    99.1   85.2   69.9  0.0   97.9                  哈佛大学  \n",
       "3    99.9  100.0   88.2  0.0   97.0       加州理工大学（Caltech)  \n",
       "4    81.3   99.4   98.3  0.0   96.7                  牛津大学  \n",
       "5    96.4  100.0   97.9  0.0   95.0  苏黎世联邦理工大学（瑞士联邦理工学院?学  \n",
       "6    69.2  100.0   97.4  0.0   94.3                  剑桥大学  \n",
       "7    68.6  100.0  100.0  0.0   93.6                帝国理工学院  \n",
       "8    86.3   67.1   82.6  0.0   93.1                芝加哥大?学  \n",
       "9    65.4   99.3  100.0  0.0   92.9                伦敦大学学院  \n",
       "10   72.9  100.0   71.4  0.0   91.5              新加坡国立大?学  \n",
       "11  100.0   71.6   65.6  0.0   91.0                普林斯顿大学  \n",
       "12   89.0  100.0   67.6  0.0   89.9                南洋理工大学  \n",
       "13   98.5  100.0  100.0  0.0   89.6        洛桑联邦理工学院（EPFL)  \n",
       "14   83.2   55.3   29.7  0.0   89.2                  清华大学  \n",
       "15   63.8   88.7   65.3  0.0   88.6              宾夕法尼亚大?学  \n",
       "16   88.6   93.7   70.0  0.0   87.6                康奈尔大?学  \n",
       "17   52.8   85.3   54.5  0.0   88.0                  耶鲁大学  \n",
       "18   48.5   37.2   96.3  0.0   86.5                哥伦比亚大学  \n",
       "19   50.2   98.2   99.0  0.0   85.8                爱丁堡大?学  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "排名top20的大学=new_df[(df['排名']<=20)]\n",
    "排名top20的大学"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
       "      <th>学术声誉</th>\n",
       "      <th>雇主声誉</th>\n",
       "      <th>师生比</th>\n",
       "      <th>教员引用率</th>\n",
       "      <th>国际教师</th>\n",
       "      <th>国际学生</th>\n",
       "      <th>星级</th>\n",
       "      <th>总分</th>\n",
       "      <th>大学</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>麻省理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>United States</td>\n",
       "      <td>2</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.1</td>\n",
       "      <td>99.7</td>\n",
       "      <td>63.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>98.4</td>\n",
       "      <td>斯坦福大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>United States</td>\n",
       "      <td>3</td>\n",
       "      <td>North America</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.6</td>\n",
       "      <td>99.1</td>\n",
       "      <td>85.2</td>\n",
       "      <td>69.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>7</td>\n",
       "      <td>Europe</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>69.2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>97.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.3</td>\n",
       "      <td>剑桥大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>United States</td>\n",
       "      <td>18</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>52.8</td>\n",
       "      <td>85.3</td>\n",
       "      <td>54.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>耶鲁大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>United States</td>\n",
       "      <td>12</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.9</td>\n",
       "      <td>99.0</td>\n",
       "      <td>68.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.6</td>\n",
       "      <td>65.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>普林斯顿大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>United States</td>\n",
       "      <td>19</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.7</td>\n",
       "      <td>97.3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>37.2</td>\n",
       "      <td>96.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.5</td>\n",
       "      <td>哥伦比亚大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>11</td>\n",
       "      <td>Asia</td>\n",
       "      <td>99.7</td>\n",
       "      <td>98.4</td>\n",
       "      <td>90.7</td>\n",
       "      <td>72.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>新加坡国立大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>10</td>\n",
       "      <td>Europe</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>98.4</td>\n",
       "      <td>65.4</td>\n",
       "      <td>99.3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.9</td>\n",
       "      <td>伦敦大学学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>United States</td>\n",
       "      <td>9</td>\n",
       "      <td>North America</td>\n",
       "      <td>99.4</td>\n",
       "      <td>91.3</td>\n",
       "      <td>94.4</td>\n",
       "      <td>86.3</td>\n",
       "      <td>67.1</td>\n",
       "      <td>82.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.1</td>\n",
       "      <td>芝加哥大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>6</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.7</td>\n",
       "      <td>96.6</td>\n",
       "      <td>80.8</td>\n",
       "      <td>96.4</td>\n",
       "      <td>100.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>苏黎世联邦理工大学（瑞士联邦理工学院?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.5</td>\n",
       "      <td>99.8</td>\n",
       "      <td>99.9</td>\n",
       "      <td>68.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.6</td>\n",
       "      <td>帝国理工学院</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>United States</td>\n",
       "      <td>17</td>\n",
       "      <td>North America</td>\n",
       "      <td>98.5</td>\n",
       "      <td>90.9</td>\n",
       "      <td>63.7</td>\n",
       "      <td>88.6</td>\n",
       "      <td>93.7</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.6</td>\n",
       "      <td>康奈尔大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>China (Mainland)</td>\n",
       "      <td>15</td>\n",
       "      <td>Asia</td>\n",
       "      <td>98.2</td>\n",
       "      <td>98.6</td>\n",
       "      <td>93.3</td>\n",
       "      <td>83.2</td>\n",
       "      <td>55.3</td>\n",
       "      <td>29.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.2</td>\n",
       "      <td>清华大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20</td>\n",
       "      <td>Europe</td>\n",
       "      <td>98.0</td>\n",
       "      <td>95.4</td>\n",
       "      <td>83.1</td>\n",
       "      <td>50.2</td>\n",
       "      <td>98.2</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.8</td>\n",
       "      <td>爱丁堡大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>United States</td>\n",
       "      <td>4</td>\n",
       "      <td>North America</td>\n",
       "      <td>97.0</td>\n",
       "      <td>82.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>88.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>United States</td>\n",
       "      <td>16</td>\n",
       "      <td>North America</td>\n",
       "      <td>96.1</td>\n",
       "      <td>91.5</td>\n",
       "      <td>100.0</td>\n",
       "      <td>63.8</td>\n",
       "      <td>88.7</td>\n",
       "      <td>65.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.6</td>\n",
       "      <td>宾夕法尼亚大?学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>13</td>\n",
       "      <td>Asia</td>\n",
       "      <td>89.8</td>\n",
       "      <td>89.8</td>\n",
       "      <td>91.5</td>\n",
       "      <td>89.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>67.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>南洋理工大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>14</td>\n",
       "      <td>Europe</td>\n",
       "      <td>80.4</td>\n",
       "      <td>80.0</td>\n",
       "      <td>96.3</td>\n",
       "      <td>98.5</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.6</td>\n",
       "      <td>洛桑联邦理工学院（EPFL)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                国家  排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0            0     United States   1  North America  100.0  100.0  100.0   \n",
       "1            1     United States   2  North America  100.0  100.0  100.0   \n",
       "2            2     United States   3  North America  100.0  100.0   98.6   \n",
       "4            4    United Kingdom   5         Europe  100.0  100.0  100.0   \n",
       "6            6    United Kingdom   7         Europe  100.0  100.0  100.0   \n",
       "17          17     United States  18  North America   99.9  100.0  100.0   \n",
       "11          11     United States  12  North America   99.9   99.0   68.6   \n",
       "18          18     United States  19  North America   99.7   97.3  100.0   \n",
       "10          10         Singapore  11           Asia   99.7   98.4   90.7   \n",
       "9            9    United Kingdom  10         Europe   99.4   98.3   98.4   \n",
       "8            8     United States   9  North America   99.4   91.3   94.4   \n",
       "5            5       Switzerland   6         Europe   98.7   96.6   80.8   \n",
       "7            7    United Kingdom   8         Europe   98.5   99.8   99.9   \n",
       "16          16     United States  17  North America   98.5   90.9   63.7   \n",
       "14          14  China (Mainland)  15           Asia   98.2   98.6   93.3   \n",
       "19          19    United Kingdom  20         Europe   98.0   95.4   83.1   \n",
       "3            3     United States   4  North America   97.0   82.8  100.0   \n",
       "15          15     United States  16  North America   96.1   91.5  100.0   \n",
       "12          12         Singapore  13           Asia   89.8   89.8   91.5   \n",
       "13          13       Switzerland  14         Europe   80.4   80.0   96.3   \n",
       "\n",
       "    教员引用率   国际教师   国际学生   星级     总分                    大学  \n",
       "0    99.1  100.0   91.9  6.0  100.0                麻省理工学院  \n",
       "1    98.1   99.7   63.6  5.0   98.4                斯坦福大?学  \n",
       "2    99.1   85.2   69.9  0.0   97.9                  哈佛大学  \n",
       "4    81.3   99.4   98.3  0.0   96.7                  牛津大学  \n",
       "6    69.2  100.0   97.4  0.0   94.3                  剑桥大学  \n",
       "17   52.8   85.3   54.5  0.0   88.0                  耶鲁大学  \n",
       "11  100.0   71.6   65.6  0.0   91.0                普林斯顿大学  \n",
       "18   48.5   37.2   96.3  0.0   86.5                哥伦比亚大学  \n",
       "10   72.9  100.0   71.4  0.0   91.5              新加坡国立大?学  \n",
       "9    65.4   99.3  100.0  0.0   92.9                伦敦大学学院  \n",
       "8    86.3   67.1   82.6  0.0   93.1                芝加哥大?学  \n",
       "5    96.4  100.0   97.9  0.0   95.0  苏黎世联邦理工大学（瑞士联邦理工学院?学  \n",
       "7    68.6  100.0  100.0  0.0   93.6                帝国理工学院  \n",
       "16   88.6   93.7   70.0  0.0   87.6                康奈尔大?学  \n",
       "14   83.2   55.3   29.7  0.0   89.2                  清华大学  \n",
       "19   50.2   98.2   99.0  0.0   85.8                爱丁堡大?学  \n",
       "3    99.9  100.0   88.2  0.0   97.0       加州理工大学（Caltech)  \n",
       "15   63.8   88.7   65.3  0.0   88.6              宾夕法尼亚大?学  \n",
       "12   89.0  100.0   67.6  0.0   89.9                南洋理工大学  \n",
       "13   98.5  100.0  100.0  0.0   89.6        洛桑联邦理工学院（EPFL)  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 尝试：以\"学术声誉\"为目标，进行倒叙排序\n",
    "学术声誉排名=排名top20的大学.sort_values(by=\"学术声誉\",ascending=False)\n",
    "学术声誉排名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 建立筛选函数\n",
    "def Sift(target):\n",
    "    target_list=[\"学术声誉\",\"雇主声誉\",\"师生比\",\"教员引用率\",\"国际教师\",\"国际学生\"]\n",
    "    if target in target_list:\n",
    "        排名top100的大学=new_df[(df['排名']<=100)]\n",
    "        指标排名=排名top20的大学.sort_values(by=target,ascending=True)\n",
    "    return 指标排名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>国家</th>\n",
       "      <th>地区</th>\n",
       "      <th>大学</th>\n",
       "      <th>排名</th>\n",
       "      <th>总分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>康奈尔大?学</td>\n",
       "      <td>17</td>\n",
       "      <td>87.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>普林斯顿大学</td>\n",
       "      <td>12</td>\n",
       "      <td>91.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Europe</td>\n",
       "      <td>苏黎世联邦理工大学（瑞士联邦理工学院?学</td>\n",
       "      <td>6</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Europe</td>\n",
       "      <td>爱丁堡大?学</td>\n",
       "      <td>20</td>\n",
       "      <td>85.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>Asia</td>\n",
       "      <td>新加坡国立大?学</td>\n",
       "      <td>11</td>\n",
       "      <td>91.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>Asia</td>\n",
       "      <td>南洋理工大学</td>\n",
       "      <td>13</td>\n",
       "      <td>89.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>China (Mainland)</td>\n",
       "      <td>Asia</td>\n",
       "      <td>清华大学</td>\n",
       "      <td>15</td>\n",
       "      <td>89.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>芝加哥大?学</td>\n",
       "      <td>9</td>\n",
       "      <td>93.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Europe</td>\n",
       "      <td>洛桑联邦理工学院（EPFL)</td>\n",
       "      <td>14</td>\n",
       "      <td>89.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Europe</td>\n",
       "      <td>伦敦大学学院</td>\n",
       "      <td>10</td>\n",
       "      <td>92.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>哈佛大学</td>\n",
       "      <td>3</td>\n",
       "      <td>97.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Europe</td>\n",
       "      <td>帝国理工学院</td>\n",
       "      <td>8</td>\n",
       "      <td>93.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Europe</td>\n",
       "      <td>剑桥大学</td>\n",
       "      <td>7</td>\n",
       "      <td>94.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Europe</td>\n",
       "      <td>牛津大学</td>\n",
       "      <td>5</td>\n",
       "      <td>96.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
       "      <td>4</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>宾夕法尼亚大?学</td>\n",
       "      <td>16</td>\n",
       "      <td>88.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>斯坦福大?学</td>\n",
       "      <td>2</td>\n",
       "      <td>98.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>耶鲁大学</td>\n",
       "      <td>18</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>哥伦比亚大学</td>\n",
       "      <td>19</td>\n",
       "      <td>86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>麻省理工学院</td>\n",
       "      <td>1</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  国家             地区                    大学  排名     总分\n",
       "16     United States  North America                康奈尔大?学  17   87.6\n",
       "11     United States  North America                普林斯顿大学  12   91.0\n",
       "5        Switzerland         Europe  苏黎世联邦理工大学（瑞士联邦理工学院?学   6   95.0\n",
       "19    United Kingdom         Europe                爱丁堡大?学  20   85.8\n",
       "10         Singapore           Asia              新加坡国立大?学  11   91.5\n",
       "12         Singapore           Asia                南洋理工大学  13   89.9\n",
       "14  China (Mainland)           Asia                  清华大学  15   89.2\n",
       "8      United States  North America                芝加哥大?学   9   93.1\n",
       "13       Switzerland         Europe        洛桑联邦理工学院（EPFL)  14   89.6\n",
       "9     United Kingdom         Europe                伦敦大学学院  10   92.9\n",
       "2      United States  North America                  哈佛大学   3   97.9\n",
       "7     United Kingdom         Europe                帝国理工学院   8   93.6\n",
       "6     United Kingdom         Europe                  剑桥大学   7   94.3\n",
       "4     United Kingdom         Europe                  牛津大学   5   96.7\n",
       "3      United States  North America       加州理工大学（Caltech)   4   97.0\n",
       "15     United States  North America              宾夕法尼亚大?学  16   88.6\n",
       "1      United States  North America                斯坦福大?学   2   98.4\n",
       "17     United States  North America                  耶鲁大学  18   88.0\n",
       "18     United States  North America                哥伦比亚大学  19   86.5\n",
       "0      United States  North America                麻省理工学院   1  100.0"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rank=Sift( target =\"师生比\")\n",
    "# rank[\"国家\"][\"地区\"]\n",
    "rank[['国家','地区','大学','排名','总分']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "university, score = [], []\n",
    "for i, row in rank.iterrows():\n",
    "    tjs = tool_js.format(row['大学'], row['排名'], row['国家'],row['总分'], \n",
    "                         row['学术声誉'],row['雇主声誉'], row['师生比'],row['教员引用率'],row['国际教师'], row['国际学生'])\n",
    "    university.append(re.sub('（.*?）', '',row['大学']))\n",
    "    score.append(opts.BarItem(name='', value=row['师生比'], tooltip_opts=opts.TooltipOpts(formatter=tjs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# 将筛选后的数据进行画图\n",
    "bar = (Bar()\n",
    "       .add_xaxis(university)\n",
    "       .add_yaxis('', score, category_gap='30%')\n",
    "       .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年世界大学TOP20中指标排名情况\",\n",
    "                                                  pos_left=\"center\",\n",
    "                                                  title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "                        datazoom_opts=opts.DataZoomOpts(range_start=70, range_end=100, orient='vertical'),\n",
    "                        visualmap_opts=opts.VisualMapOpts(is_show=False, max_=100, min_=60, dimension=0,\n",
    "                                range_color=['#FFFFCC', '#008080']),\n",
    "                        legend_opts=opts.LegendOpts(is_show=False),\n",
    "                        xaxis_opts=opts.AxisOpts(is_show=False, is_scale=True),\n",
    "                        yaxis_opts=opts.AxisOpts(axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "                                                 axisline_opts=opts.AxisLineOpts(is_show=False),\n",
    "                                                 axislabel_opts=opts.LabelOpts(font_size=12)))\n",
    "       .set_series_opts(label_opts=opts.LabelOpts(is_show=True,\n",
    "                                                  position='right',\n",
    "                                                  font_style='italic'),\n",
    "                        itemstyle_opts={\"normal\": {\n",
    "                                                    \"barBorderRadius\": [30, 30, 30, 30],\n",
    "                                                    'shadowBlur': 10,\n",
    "                                                    'shadowColor': 'rgba(120, 36, 50, 0.5)',\n",
    "                                                    'shadowOffsetY': 5,\n",
    "                                                }\n",
    "                                       }\n",
    ").reversal_axis())\n",
    "\n",
    "grid = (\n",
    "        Grid(init_opts=opts.InitOpts(theme='purple-passion', width='1000px', height='1200px'))\n",
    "        .add(bar, grid_opts=opts.GridOpts(pos_right='10%', pos_left='20%'))\n",
    "    )\n",
    "grid.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据分析结果\n",
    "* 将各项指标进行排名，我们可以看出在\"学术声誉\"这项指标下，五个欧美国家得分均为满分，享有很高的学术声誉。排名在5-10位的大学得分相近，在top20的其它上榜的学校中，可以看到指标分数均超过了80分。\n",
    "* 在”雇主声誉“指标中，有6个国家获得满分，也都是欧美国家的大学，亚洲上榜的学校数量较少，只有3个。\n",
    "* 在”师生比“指标中，top20以内的大学得分相差较大，和世界人口分布相关，亚洲人口较多，师生比差距较大。\n",
    "* 在”教员引用比“指标中，各个学校的得分差距也较大，分数在100-48之间，波动较大。猜测也是世界人口分布原因导致。\n",
    "* 在”国际教师“指标中，获得满分的学校较多。符合国际化趋势。\n",
    "* 在”国际学生“指标中，三个亚洲国家上榜，其中中国”清华大学“上榜。\n",
    "* 在各项指标中，麻省理工学院的排名大多排在首位，除了”国际学生“这项指标中排名相对较后。\n",
    "* 我们从这些指标中可以看出，每个学校每个地区的教育方式不同，注重的指标也有所差异。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 按地区分类，看排名tpo100大学数量分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
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       "      <td>麻省理工学院</td>\n",
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       "      <td>斯坦福大学</td>\n",
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       "      <td>100.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>97.9</td>\n",
       "      <td>哈佛大学</td>\n",
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       "      <td>3</td>\n",
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       "      <td>97.0</td>\n",
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       "      <td>97.0</td>\n",
       "      <td>加州理工大学（Caltech)</td>\n",
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       "      <td>4</td>\n",
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       "      <td>5</td>\n",
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       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>99.4</td>\n",
       "      <td>98.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>牛津大学</td>\n",
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       "      <td>隆德大学</td>\n",
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       "      <td>诺丁汉大学</td>\n",
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       "      <td>9.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.8</td>\n",
       "      <td>墨西哥国立自治大学</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0              国家   排名             地区   学术声誉   雇主声誉    师生比  \\\n",
       "0            0   United States    1  North America  100.0  100.0  100.0   \n",
       "1            1   United States    2  North America  100.0  100.0  100.0   \n",
       "2            2   United States    3  North America  100.0  100.0   98.6   \n",
       "3            3   United States    4  North America   97.0   82.8  100.0   \n",
       "4            4  United Kingdom    5         Europe  100.0  100.0  100.0   \n",
       "..         ...             ...  ...            ...    ...    ...    ...   \n",
       "95          95  United Kingdom   96         Europe   46.0   61.1   67.6   \n",
       "96          96          Sweden   97         Europe   70.0   50.9   53.6   \n",
       "97          97          Sweden   98         Europe   46.2   63.6   64.8   \n",
       "98          98  United Kingdom   99         Europe   60.0   71.6   47.7   \n",
       "99          99          Mexico  100  Latin America   93.3   90.9   52.9   \n",
       "\n",
       "    教员引用率   国际教师  国际学生   星级     总分               大学  \n",
       "0    99.1  100.0  91.9  6.0  100.0           麻省理工学院  \n",
       "1    98.1   99.7  63.6  5.0   98.4            斯坦福大学  \n",
       "2    99.1   85.2  69.9  0.0   97.9             哈佛大学  \n",
       "3    99.9  100.0  88.2  0.0   97.0  加州理工大学（Caltech)  \n",
       "4    81.3   99.4  98.3  0.0   96.7             牛津大学  \n",
       "..    ...    ...   ...  ...    ...              ...  \n",
       "95   60.2   98.4  99.8  0.0   60.3          圣安德鲁斯大学  \n",
       "96   39.9   92.3  69.0  0.0   60.2             隆德大学  \n",
       "97   68.0   98.3  57.4  0.0   59.5           皇家理工学院  \n",
       "98   46.4   90.8  83.5  0.0   59.0            诺丁汉大学  \n",
       "99    4.0    9.9   3.6  0.0   58.8        墨西哥国立自治大学  \n",
       "\n",
       "[100 rows x 13 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "排名top100的大学=new_df[(df['排名']<=100)]\n",
    "排名top100的大学"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['North America', 'Europe', 'Asia', 'Oceania', 'Latin America'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "地区分类=pd.unique(排名top100的大学['地区'])\n",
    "地区分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Latin America', 'Asia', 'North America', 'Europe', 'Oceania']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "place_list =list(set(地区分类))\n",
    "place_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>地区</th>\n",
       "      <th>大学数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Europe</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>North America</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asia</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Latin America</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              地区  大学数量\n",
       "0         Europe    34\n",
       "1  North America    30\n",
       "2           Asia    26\n",
       "3        Oceania     8\n",
       "4  Latin America     2"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 从估值、企业数量和行业分布进行统计\n",
    "地区分布=排名top100的大学.groupby(['地区'])\\\n",
    ".agg({'大学':'count'})\\\n",
    ".sort_values(['大学'],ascending=False)\\\n",
    ".rename ( columns = {\"大学\":\"大学数量\"} )\\\n",
    ".reset_index()\n",
    "地区分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min', 'purple-passion':'https://assets.pyecharts.org/assets/themes/purple-passion'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"6f39453ca9f44b529871cc10ae998d0a\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts', 'purple-passion'], function(echarts) {\n",
       "                var chart_6f39453ca9f44b529871cc10ae998d0a = echarts.init(\n",
       "                    document.getElementById('6f39453ca9f44b529871cc10ae998d0a'), 'purple-passion', {renderer: 'canvas'});\n",
       "                var option_6f39453ca9f44b529871cc10ae998d0a = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                34,\n",
       "                30,\n",
       "                26,\n",
       "                8,\n",
       "                2\n",
       "            ],\n",
       "            \"showBackground\": false,\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\": true\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Europe\",\n",
       "                \"North America\",\n",
       "                \"Asia\",\n",
       "                \"Oceania\",\n",
       "                \"Latin America\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"2021\\u5e74\\u5404\\u5927\\u5730\\u533atop100\\u5927\\u5b66\\u6570\\u91cf\\u5206\\u5e03\",\n",
       "            \"left\": \"center\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 20\n",
       "            }\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_6f39453ca9f44b529871cc10ae998d0a.setOption(option_6f39453ca9f44b529871cc10ae998d0a);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x141610784f0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 地区大学数量分析\n",
    "x_data = 地区分布[\"地区\"].to_list()\n",
    "y_data= 地区分布[\"大学数量\"].to_list()\n",
    "bar = (\n",
    "    Bar(init_opts=opts.InitOpts(theme='purple-passion'))\n",
    "    .add_xaxis(x_data)\n",
    "    .add_yaxis('', y_data)\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年各大地区top100大学数量分布\",\n",
    "                                               pos_left=\"center\",\n",
    "                                               title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "                    )\n",
    ")\n",
    "    \n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min', 'purple-passion':'https://assets.pyecharts.org/assets/themes/purple-passion'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"07a9df79cf0f4961a51db646c5ac5cd6\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts', 'purple-passion'], function(echarts) {\n",
       "                var chart_07a9df79cf0f4961a51db646c5ac5cd6 = echarts.init(\n",
       "                    document.getElementById('07a9df79cf0f4961a51db646c5ac5cd6'), 'purple-passion', {renderer: 'canvas'});\n",
       "                var option_07a9df79cf0f4961a51db646c5ac5cd6 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Europe\",\n",
       "                    \"value\": 34\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"North America\",\n",
       "                    \"value\": 30\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Asia\",\n",
       "                    \"value\": 26\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Oceania\",\n",
       "                    \"value\": 8\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Latin America\",\n",
       "                    \"value\": 2\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"0%\",\n",
       "                \"75%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Europe\",\n",
       "                \"North America\",\n",
       "                \"Asia\",\n",
       "                \"Oceania\",\n",
       "                \"Latin America\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"2021\\u5e74\\u5404\\u5927\\u5730\\u533atop100\\u5927\\u5b66\\u6570\\u91cf\\u5206\\u5e03\",\n",
       "            \"bottom\": \"left\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 20\n",
       "            }\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_07a9df79cf0f4961a51db646c5ac5cd6.setOption(option_07a9df79cf0f4961a51db646c5ac5cd6);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x141610da6d0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 地区大学数量分析\n",
    "cate = 地区分布[\"地区\"].to_list()\n",
    "data = 地区分布[\"大学数量\"].to_list()\n",
    "\n",
    "pie = (Pie(init_opts=opts.InitOpts(theme='purple-passion'))\n",
    "       .add('', [list(z) for z in zip(cate, data)])\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年各大地区top100大学数量分布\",\n",
    "                                               pos_bottom=\"left\",\n",
    "                                               title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "       )\n",
    "      )\n",
    "\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据分析结果\n",
    "\n",
    "* 结合条形图和饼状图可以很直观地看出欧洲地区top100的高校最多，北美地区和亚洲紧随其后。\n",
    "\n",
    "* 拉丁美洲top100的高校最少，与欧洲地区相差较大，仅有2所高校，猜测和当地的经济发展水平有一定的关系。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 按国家分类，看top100大学数量分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Singapore',\n",
       " 'Japan',\n",
       " 'Germany',\n",
       " 'United Kingdom',\n",
       " 'Russia',\n",
       " 'Belgium',\n",
       " 'Argentina',\n",
       " 'New Zealand',\n",
       " 'Denmark',\n",
       " 'China (Mainland)',\n",
       " 'Australia',\n",
       " 'Canada',\n",
       " 'France',\n",
       " 'Switzerland',\n",
       " 'Mexico',\n",
       " 'South Korea',\n",
       " 'United States',\n",
       " 'China',\n",
       " 'Sweden',\n",
       " 'Malaysia',\n",
       " 'Netherlands']"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_list =list(set(pd.unique(排名top100的大学['国家'])))\n",
    "country_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>国家</th>\n",
       "      <th>大学数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Australia</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>China</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>China (Mainland)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>South Korea</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Japan</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Canada</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>France</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Germany</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Russia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  国家  大学数量\n",
       "0      United States    27\n",
       "1     United Kingdom    18\n",
       "2          Australia     7\n",
       "3              China     6\n",
       "4   China (Mainland)     6\n",
       "5        South Korea     6\n",
       "6              Japan     5\n",
       "7             Canada     3\n",
       "8        Switzerland     3\n",
       "9             France     3\n",
       "10           Germany     3\n",
       "11         Singapore     2\n",
       "12            Sweden     2\n",
       "13       Netherlands     2\n",
       "14         Argentina     1\n",
       "15            Russia     1\n",
       "16       New Zealand     1\n",
       "17            Mexico     1\n",
       "18           Denmark     1\n",
       "19           Belgium     1\n",
       "20          Malaysia     1"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 国家top100大学分布情况\n",
    "国家分布=排名top100的大学.groupby(['国家'])\\\n",
    ".agg({'大学':'count'})\\\n",
    ".sort_values(['大学'],ascending=False)\\\n",
    ".rename ( columns = {\"大学\":\"大学数量\"} )\\\n",
    ".reset_index()\n",
    "国家分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>国家</th>\n",
       "      <th>大学数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
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       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>China</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>China (Mainland)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>South Korea</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Canada</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>France</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Germany</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Russia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  国家  大学数量\n",
       "0      United States    27\n",
       "1     United Kingdom    18\n",
       "2          Australia     7\n",
       "3              China     6\n",
       "4   China (Mainland)     6\n",
       "5        South Korea     6\n",
       "6              Japan     5\n",
       "7             Canada     3\n",
       "8        Switzerland     3\n",
       "9             France     3\n",
       "10           Germany     3\n",
       "11         Singapore     2\n",
       "12            Sweden     2\n",
       "13       Netherlands     2\n",
       "14         Argentina     1\n",
       "15            Russia     1\n",
       "16       New Zealand     1\n",
       "17            Mexico     1\n",
       "18           Denmark     1\n",
       "19           Belgium     1\n",
       "20          Malaysia     1"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "国家分布.loc[:, \"国家\"] = 国家分布[\"国家\"].str.replace(\"China (Mainland)\", \"China\")\n",
    "国家分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min', 'purple-passion':'https://assets.pyecharts.org/assets/themes/purple-passion'\n",
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       "        <div id=\"288781b2bc494f6aabac90bbf0590f92\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
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       "        require(['echarts', 'purple-passion'], function(echarts) {\n",
       "                var chart_288781b2bc494f6aabac90bbf0590f92 = echarts.init(\n",
       "                    document.getElementById('288781b2bc494f6aabac90bbf0590f92'), 'purple-passion', {renderer: 'canvas'});\n",
       "                var option_288781b2bc494f6aabac90bbf0590f92 = {\n",
       "    \"animation\": true,\n",
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       "    \"animationDuration\": 1000,\n",
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       "    \"animationDurationUpdate\": 300,\n",
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       "    \"series\": [\n",
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       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
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       "            \"z\": 2,\n",
       "            \"label\": {\n",
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       "                ],\n",
       "                [\n",
       "                    \"China\",\n",
       "                    6\n",
       "                ],\n",
       "                [\n",
       "                    \"China (Mainland)\",\n",
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       "                [\n",
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       "                [\n",
       "                    \"Japan\",\n",
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       "                ],\n",
       "                [\n",
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       "                ],\n",
       "                [\n",
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       "                ],\n",
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       "                ],\n",
       "                [\n",
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       "                ],\n",
       "                [\n",
       "                    \"Argentina\",\n",
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       "                ],\n",
       "                [\n",
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       "                ],\n",
       "                [\n",
       "                    \"New Zealand\",\n",
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       "                ],\n",
       "                [\n",
       "                    \"Mexico\",\n",
       "                    1\n",
       "                ],\n",
       "                [\n",
       "                    \"Denmark\",\n",
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       "                ],\n",
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       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
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       "        \"borderWidth\": 0,\n",
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       "            \"show\": true,\n",
       "            \"scale\": false,\n",
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       "                \"United Kingdom\",\n",
       "                \"Australia\",\n",
       "                \"China\",\n",
       "                \"China (Mainland)\",\n",
       "                \"South Korea\",\n",
       "                \"Japan\",\n",
       "                \"Canada\",\n",
       "                \"Switzerland\",\n",
       "                \"France\",\n",
       "                \"Germany\",\n",
       "                \"Singapore\",\n",
       "                \"Sweden\",\n",
       "                \"Netherlands\",\n",
       "                \"Argentina\",\n",
       "                \"Russia\",\n",
       "                \"New Zealand\",\n",
       "                \"Mexico\",\n",
       "                \"Denmark\",\n",
       "                \"Belgium\",\n",
       "                \"Malaysia\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
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       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"2021\\u5e74\\u5404\\u56fdtop100\\u5927\\u5b66\\u6570\\u91cf\\u5206\\u5e03\",\n",
       "            \"left\": \"center\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 20\n",
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       "};\n",
       "                chart_288781b2bc494f6aabac90bbf0590f92.setOption(option_288781b2bc494f6aabac90bbf0590f92);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x14161090ac0>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 国家大学数量分析\n",
    "x_data = 国家分布[\"国家\"].to_list()\n",
    "y_data= 国家分布[\"大学数量\"].to_list()\n",
    "y_data_line = 国家分布[\"大学数量\"].to_list()\n",
    "bar = (\n",
    "    Bar(init_opts=opts.InitOpts(theme='purple-passion'))\n",
    "    .add_xaxis(x_data)\n",
    "    .add_yaxis('', y_data)\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年各国top100大学数量分布\",\n",
    "                                               pos_left=\"center\",\n",
    "                                               title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "                    )\n",
    ")\n",
    "    \n",
    "line = (Line(init_opts=opts.InitOpts(theme='purple-passion'))\n",
    "        .add_xaxis(x_data)\n",
    "        .add_yaxis('', y_data_line)\n",
    "       )\n",
    "\n",
    "overlap = bar.overlap(line)\n",
    "overlap.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据分析结果\n",
    "* 从复合图表可以看出，在top100的高校里，位于美国的高校最多，其次是英国。\n",
    "\n",
    "* top100的高校中，位于中国包括港澳台地区的有12个。\n",
    "\n",
    "* 有7个国家只拥有1个top100以内的高校。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 世界top500的高校中，中国大学排名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>国家</th>\n",
       "      <th>排名</th>\n",
       "      <th>地区</th>\n",
       "      <th>学术声誉</th>\n",
       "      <th>雇主声誉</th>\n",
       "      <th>师生比</th>\n",
       "      <th>教员引用率</th>\n",
       "      <th>国际教师</th>\n",
       "      <th>国际学生</th>\n",
       "      <th>星级</th>\n",
       "      <th>总分</th>\n",
       "      <th>大学</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>China</td>\n",
       "      <td>22</td>\n",
       "      <td>Asia</td>\n",
       "      <td>98.1</td>\n",
       "      <td>76.3</td>\n",
       "      <td>83.8</td>\n",
       "      <td>48.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>98.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.7</td>\n",
       "      <td>香港大学（HKU学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>China</td>\n",
       "      <td>27</td>\n",
       "      <td>Asia</td>\n",
       "      <td>85.2</td>\n",
       "      <td>63.6</td>\n",
       "      <td>66.7</td>\n",
       "      <td>92.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>88.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>82.1</td>\n",
       "      <td>香港科技大学（HKUST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>China</td>\n",
       "      <td>43</td>\n",
       "      <td>Asia</td>\n",
       "      <td>90.3</td>\n",
       "      <td>53.1</td>\n",
       "      <td>59.2</td>\n",
       "      <td>62.6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.8</td>\n",
       "      <td>香港中文大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>China</td>\n",
       "      <td>48</td>\n",
       "      <td>Asia</td>\n",
       "      <td>61.5</td>\n",
       "      <td>32.8</td>\n",
       "      <td>88.9</td>\n",
       "      <td>91.2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.3</td>\n",
       "      <td>香港城市大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>66</td>\n",
       "      <td>China</td>\n",
       "      <td>66</td>\n",
       "      <td>Asia</td>\n",
       "      <td>91.8</td>\n",
       "      <td>87.5</td>\n",
       "      <td>38.7</td>\n",
       "      <td>54.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>38.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.5</td>\n",
       "      <td>台湾大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>74</td>\n",
       "      <td>China</td>\n",
       "      <td>75</td>\n",
       "      <td>Asia</td>\n",
       "      <td>66.3</td>\n",
       "      <td>40.8</td>\n",
       "      <td>78.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>80.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.8</td>\n",
       "      <td>香港理工大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>167</td>\n",
       "      <td>China</td>\n",
       "      <td>168</td>\n",
       "      <td>Asia</td>\n",
       "      <td>49.5</td>\n",
       "      <td>58.1</td>\n",
       "      <td>34.8</td>\n",
       "      <td>58.3</td>\n",
       "      <td>19.4</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.4</td>\n",
       "      <td>国立清华大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>234</td>\n",
       "      <td>China</td>\n",
       "      <td>235</td>\n",
       "      <td>Asia</td>\n",
       "      <td>41.0</td>\n",
       "      <td>60.9</td>\n",
       "      <td>35.8</td>\n",
       "      <td>35.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.9</td>\n",
       "      <td>国立成功大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>239</td>\n",
       "      <td>China</td>\n",
       "      <td>240</td>\n",
       "      <td>Asia</td>\n",
       "      <td>29.7</td>\n",
       "      <td>64.9</td>\n",
       "      <td>40.7</td>\n",
       "      <td>44.5</td>\n",
       "      <td>30.0</td>\n",
       "      <td>21.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.2</td>\n",
       "      <td>国立交通大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>263</td>\n",
       "      <td>China</td>\n",
       "      <td>264</td>\n",
       "      <td>Asia</td>\n",
       "      <td>18.2</td>\n",
       "      <td>12.7</td>\n",
       "      <td>39.3</td>\n",
       "      <td>49.9</td>\n",
       "      <td>98.2</td>\n",
       "      <td>95.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.3</td>\n",
       "      <td>香港浸会大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>266</td>\n",
       "      <td>China</td>\n",
       "      <td>267</td>\n",
       "      <td>Asia</td>\n",
       "      <td>24.8</td>\n",
       "      <td>28.0</td>\n",
       "      <td>58.5</td>\n",
       "      <td>40.7</td>\n",
       "      <td>23.2</td>\n",
       "      <td>40.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>台湾科技大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>298</td>\n",
       "      <td>China</td>\n",
       "      <td>299</td>\n",
       "      <td>Asia</td>\n",
       "      <td>14.8</td>\n",
       "      <td>15.2</td>\n",
       "      <td>99.9</td>\n",
       "      <td>30.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.4</td>\n",
       "      <td>国立杨明大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>332</td>\n",
       "      <td>China</td>\n",
       "      <td>331</td>\n",
       "      <td>Asia</td>\n",
       "      <td>31.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>68.5</td>\n",
       "      <td>10.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.8</td>\n",
       "      <td>台湾师范大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>366</td>\n",
       "      <td>China</td>\n",
       "      <td>367</td>\n",
       "      <td>Asia</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>22.4</td>\n",
       "      <td>51.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>96.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.9</td>\n",
       "      <td>澳门大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>388</td>\n",
       "      <td>China</td>\n",
       "      <td>389</td>\n",
       "      <td>Asia</td>\n",
       "      <td>9.9</td>\n",
       "      <td>12.0</td>\n",
       "      <td>84.8</td>\n",
       "      <td>22.4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.6</td>\n",
       "      <td>台北医科大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>416</td>\n",
       "      <td>China</td>\n",
       "      <td>417</td>\n",
       "      <td>Asia</td>\n",
       "      <td>25.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>33.8</td>\n",
       "      <td>36.1</td>\n",
       "      <td>15.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.2</td>\n",
       "      <td>国立中山大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>465</td>\n",
       "      <td>China</td>\n",
       "      <td>466</td>\n",
       "      <td>Asia</td>\n",
       "      <td>21.3</td>\n",
       "      <td>18.2</td>\n",
       "      <td>32.8</td>\n",
       "      <td>31.4</td>\n",
       "      <td>15.4</td>\n",
       "      <td>22.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.2</td>\n",
       "      <td>国立中央大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>488</td>\n",
       "      <td>China</td>\n",
       "      <td>489</td>\n",
       "      <td>Asia</td>\n",
       "      <td>12.7</td>\n",
       "      <td>33.1</td>\n",
       "      <td>34.6</td>\n",
       "      <td>33.5</td>\n",
       "      <td>24.9</td>\n",
       "      <td>21.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.5</td>\n",
       "      <td>国立台北理工大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>492</td>\n",
       "      <td>China</td>\n",
       "      <td>493</td>\n",
       "      <td>Asia</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.2</td>\n",
       "      <td>59.6</td>\n",
       "      <td>46.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.2</td>\n",
       "      <td>长庚大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>574</td>\n",
       "      <td>China</td>\n",
       "      <td>575</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.8</td>\n",
       "      <td>20.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>65.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>岭南大学（香港）</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>584</td>\n",
       "      <td>China</td>\n",
       "      <td>585</td>\n",
       "      <td>Asia</td>\n",
       "      <td>18.6</td>\n",
       "      <td>30.1</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>国立政治大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>625</td>\n",
       "      <td>China</td>\n",
       "      <td>626</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.1</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>国立中兴大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>714</td>\n",
       "      <td>China</td>\n",
       "      <td>715</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.5</td>\n",
       "      <td>23.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>高雄医科大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>718</td>\n",
       "      <td>China</td>\n",
       "      <td>719</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>澳门科技大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>863</td>\n",
       "      <td>China</td>\n",
       "      <td>864</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>国立中正大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>1020</td>\n",
       "      <td>China</td>\n",
       "      <td>1021</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>中原基督教大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1032</th>\n",
       "      <td>1032</td>\n",
       "      <td>China</td>\n",
       "      <td>1033</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>逢甲大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1033</th>\n",
       "      <td>1033</td>\n",
       "      <td>China</td>\n",
       "      <td>1034</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>辅仁大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1057</th>\n",
       "      <td>1057</td>\n",
       "      <td>China</td>\n",
       "      <td>1058</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>国立东华大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>1058</td>\n",
       "      <td>China</td>\n",
       "      <td>1059</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>台湾海洋大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077</th>\n",
       "      <td>1077</td>\n",
       "      <td>China</td>\n",
       "      <td>1078</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>台湾淡江大学</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>1085</td>\n",
       "      <td>China</td>\n",
       "      <td>1086</td>\n",
       "      <td>Asia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>东海大学</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0     国家    排名    地区  学术声誉  雇主声誉   师生比  教员引用率   国际教师   国际学生  \\\n",
       "21            21  China    22  Asia  98.1  76.3  83.8   48.0  100.0   98.9   \n",
       "26            26  China    27  Asia  85.2  63.6  66.7   92.1  100.0   88.9   \n",
       "42            42  China    43  Asia  90.3  53.1  59.2   62.6  100.0   91.5   \n",
       "47            47  China    48  Asia  61.5  32.8  88.9   91.2  100.0   99.0   \n",
       "66            66  China    66  Asia  91.8  87.5  38.7   54.8   19.1   38.7   \n",
       "74            74  China    75  Asia  66.3  40.8  78.0   51.0  100.0   80.2   \n",
       "167          167  China   168  Asia  49.5  58.1  34.8   58.3   19.4   18.0   \n",
       "234          234  China   235  Asia  41.0  60.9  35.8   35.0   17.0   23.0   \n",
       "239          239  China   240  Asia  29.7  64.9  40.7   44.5   30.0   21.4   \n",
       "263          263  China   264  Asia  18.2  12.7  39.3   49.9   98.2   95.6   \n",
       "266          266  China   267  Asia  24.8  28.0  58.5   40.7   23.2   40.8   \n",
       "298          298  China   299  Asia  14.8  15.2  99.9   30.9    5.6    6.5   \n",
       "332          332  China   331  Asia  31.0  11.0  68.5   10.8   12.8   31.6   \n",
       "366          366  China   367  Asia  11.2   6.2  22.4   51.8  100.0   96.2   \n",
       "388          388  China   389  Asia   9.9  12.0  84.8   22.4   20.0   17.1   \n",
       "416          416  China   417  Asia  25.0  18.2  33.8   36.1   15.6   10.2   \n",
       "465          465  China   466  Asia  21.3  18.2  32.8   31.4   15.4   22.1   \n",
       "488          488  China   489  Asia  12.7  33.1  34.6   33.5   24.9   21.1   \n",
       "492          492  China   493  Asia   4.7   4.2  59.6   46.6    3.1    7.0   \n",
       "574          574  China   575  Asia   0.0   0.0  24.8   20.8  100.0   65.8   \n",
       "584          584  China   585  Asia  18.6  30.1  28.9    0.0    0.0   53.8   \n",
       "625          625  China   626  Asia   0.0   0.0  27.1   22.9    0.0    0.0   \n",
       "714          714  China   715  Asia   0.0   0.0  42.5   23.8    0.0    0.0   \n",
       "718          718  China   719  Asia   0.0   0.0   0.0   19.2  100.0  100.0   \n",
       "863          863  China   864  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "1020        1020  China  1021  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "1032        1032  China  1033  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "1033        1033  China  1034  Asia   0.0   0.0   0.0    0.0    0.0   17.5   \n",
       "1057        1057  China  1058  Asia   0.0   0.0   0.0    0.0    0.0   16.4   \n",
       "1058        1058  China  1059  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "1077        1077  China  1078  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "1085        1085  China  1086  Asia   0.0   0.0   0.0    0.0    0.0    0.0   \n",
       "\n",
       "       星级    总分             大学  \n",
       "21    0.0  83.7      香港大学（HKU学  \n",
       "26    0.0  82.1  香港科技大学（HKUST)  \n",
       "42    0.0  75.8         香港中文大学  \n",
       "47    0.0  74.3         香港城市大学  \n",
       "66    0.0  67.5           台湾大学  \n",
       "74    0.0  65.8         香港理工大学  \n",
       "167   0.0  46.4         国立清华大学  \n",
       "234   0.0  38.9         国立成功大学  \n",
       "239   0.0  38.2         国立交通大学  \n",
       "263   0.0  36.3         香港浸会大学  \n",
       "266   0.0  36.0         台湾科技大学  \n",
       "298   0.0  34.4         国立杨明大学  \n",
       "332   0.0  31.8         台湾师范大学  \n",
       "366   0.0  29.9           澳门大学  \n",
       "388   0.0  28.6         台北医科大学  \n",
       "416   0.0  27.2         国立中山大学  \n",
       "465   0.0  25.2         国立中央大学  \n",
       "488   0.0  24.5       国立台北理工大学  \n",
       "492   0.0  24.2           长庚大学  \n",
       "574   0.0   0.0       岭南大学（香港）  \n",
       "584   0.0   0.0         国立政治大学  \n",
       "625   0.0   0.0         国立中兴大学  \n",
       "714   0.0   0.0         高雄医科大学  \n",
       "718   0.0   0.0         澳门科技大学  \n",
       "863   0.0   0.0         国立中正大学  \n",
       "1020  0.0   0.0        中原基督教大学  \n",
       "1032  0.0   0.0           逢甲大学  \n",
       "1033  0.0   0.0           辅仁大学  \n",
       "1057  0.0   0.0         国立东华大学  \n",
       "1058  0.0   0.0         台湾海洋大学  \n",
       "1077  0.0   0.0         台湾淡江大学  \n",
       "1085  0.0   0.0           东海大学  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "China=new_df[new_df['国家'].isin(['China'])]\n",
    "China"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-36-cd68e4390468>:1: UserWarning:\n",
      "\n",
      "Boolean Series key will be reindexed to match DataFrame index.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "t_data = China[(df['排名']<=500)]\n",
    "t_data = t_data.sort_values(by=\"总分\" , ascending=True) \n",
    "\n",
    "university, score = [], []\n",
    "for idx, row in t_data.iterrows():\n",
    "    tjs = tool_js.format(row['大学'], row['排名'], row['国家'],row['总分'], \n",
    "                         row['学术声誉'],row['雇主声誉'], row['师生比'],row['教员引用率'],row['国际教师'], row['国际学生'])\n",
    "    university.append(re.sub('（.*?）', '',row['大学']))\n",
    "    score.append(opts.BarItem(name='', value=row['总分'], tooltip_opts=opts.TooltipOpts(formatter=tjs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
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       "                \"\\u9999\\u6e2f\\u79d1\\u6280\\u5927\\u5b66\\uff08HKUST)\",\n",
       "                \"\\u9999\\u6e2f\\u5927\\u5b66\\uff08HKU\\u5b66\"\n",
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     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# 将筛选后的数据进行画图\n",
    "bar = (Bar()\n",
    "       .add_xaxis(university)\n",
    "       .add_yaxis('', score, category_gap='30%')\n",
    "       .set_global_opts(title_opts=opts.TitleOpts(title=\"2021年世界大学TOP500中国大学排名情况\",\n",
    "                                                  pos_left=\"center\",\n",
    "                                                  title_textstyle_opts=opts.TextStyleOpts(font_size=20)),\n",
    "                        datazoom_opts=opts.DataZoomOpts(range_start=70, range_end=100, orient='vertical'),\n",
    "                        visualmap_opts=opts.VisualMapOpts(is_show=False, max_=100, min_=60, dimension=0,\n",
    "                                range_color=['#FFFFCC', '#FFCC00']),\n",
    "                        legend_opts=opts.LegendOpts(is_show=False),\n",
    "                        xaxis_opts=opts.AxisOpts(is_show=False, is_scale=True),\n",
    "                        yaxis_opts=opts.AxisOpts(axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "                                                 axisline_opts=opts.AxisLineOpts(is_show=False),\n",
    "                                                 axislabel_opts=opts.LabelOpts(font_size=12)))\n",
    "       .set_series_opts(label_opts=opts.LabelOpts(is_show=True,\n",
    "                                                  position='right',\n",
    "                                                  font_style='italic'),\n",
    "                        itemstyle_opts={\"normal\": {\n",
    "                                                    \"barBorderRadius\": [30, 30, 30, 30],\n",
    "                                                    'shadowBlur': 10,\n",
    "                                                    'shadowColor': 'rgba(120, 36, 50, 0.5)',\n",
    "                                                    'shadowOffsetY': 5,\n",
    "                                                }\n",
    "                                       }\n",
    ").reversal_axis())\n",
    "\n",
    "grid = (\n",
    "        Grid(init_opts=opts.InitOpts(theme='purple-passion', width='1000px', height='1200px'))\n",
    "        .add(bar, grid_opts=opts.GridOpts(pos_right='10%', pos_left='20%'))\n",
    "    )\n",
    "grid.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据结果分析\n",
    "\n",
    "* 从图中可以看出，在世界top500中，香港大学是中国获得分数最高的学校，同时可以看出香港的高校占比很高，TOP10中有4所来自香港；  \n",
    "\n",
    "* 排名靠前的几个大学中，港澳台地区比重较高。我们知道我国实行一国两制，所以猜测相关的教育制度与中国有一定的差别，注重的方面有所差异。  \n",
    "\n",
    "* 从得分可以看出，中国高校得分最高为83.7分，和其他高等院校的差距还是很大的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## top1000高校在世界的分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_data = df[(df['排名']<=1000)]\n",
    "t_data = t_data.groupby(['国家'])['大学'].count().reset_index()\n",
    "t_data.columns = ['国家', 'num']\n",
    "t_data = t_data.sort_values(by=\"num\" , ascending=True) \n",
    "\n",
    "data_pair = []\n",
    "for idx, row in t_data.iterrows():\n",
    "    if row['国家'] in ['China (Mainland)', 'Hong Kong SAR', 'Taiwan', 'Macau SAR']:\n",
    "        data_pair.append(['China', row['num']])\n",
    "    else:\n",
    "        data_pair.append([row['国家'], row['num']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
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       "        });\n",
       "    </script>\n"
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     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_ = (\n",
    "    Map()\n",
    "    .add(\"\", data_pair, 'world')\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "    .set_global_opts(visualmap_opts=opts.VisualMapOpts(max_=160,is_show=True,\n",
    "                                                        is_piecewise=True,\n",
    "                                                      range_color=['#339966', '#CC99FF', '#666699']))\n",
    ")\n",
    "map_.render_notebook()"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据分析结果\n",
    "* 将世界排名前1000的学校展现在地图上，从颜色的变化可以看出他们的区间。\n",
    "        \n",
    "* 从地图中，美国和欧洲地区的学校排名在1000的比较多，中国和澳大利亚属于第二梯队，数量在128-64个之间。\n",
    "\n",
    "* 从中我们可以看出排名在1000以内的高校主要分布在欧洲和北美地区，非洲地区相对较少。"
   ]
  }
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